The social sustainability of citizen-centered urban governance networks: Sensor-based big data applications and real-time decision-making

Abstract

Despite the relevance of the social sustainability of citizen-centered urban governance networks, only limited research has been conducted on this topic. Using and replicating data from ESI ThoughtLab, KPMG, McKinsey, Osborne Clarke, Phillips, and SmartCitiesWorld, we performed analyses and made estimates regarding how smart city applications can contribute to a safer urban environment (%), key actions to accelerate education development in smart cities (%), where residents think cities should make transportation investments (%), the components of a smart city which are most likely to improve citizen well-being (%), and the economic benefits of investments in smart city pillars by maturity stage (%). The results of a study based on data collected from 4,400 respondents provide support for our research model. Using the structural equation modeling and employing the probability sampling technique, we gathered and analyzed data through a self-administrated questionnaire.